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Shailza Jolly
Shailza Jolly
Research Scientist at Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
The gem benchmark: Natural language generation, its evaluation and metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
1352021
How do convolutional neural networks learn design?
S Jolly, BK Iwana, R Kuroki, S Uchida
2018 24th International Conference on Pattern Recognition (ICPR), 1085-1090, 2018
242018
Data-efficient paraphrase generation to bootstrap intent classification and slot labeling for new features in task-oriented dialog systems
S Jolly, T Falke, C Tirkaz, D Sorokin
Proceedings of the 28th International Conference on Computational …, 2020
222020
Search and learn: Improving semantic coverage for data-to-text generation
S Jolly, ZX Zhang, A Dengel, L Mou
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10858 …, 2022
162022
Gemv2: Multilingual nlg benchmarking in a single line of code
S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ...
arXiv preprint arXiv:2206.11249, 2022
152022
Generating fluent fact checking explanations with unsupervised post-editing
S Jolly, P Atanasova, I Augenstein
Information 13 (10), 500, 2022
112022
Can pre-training help vqa with lexical variations?
S Jolly, S Kapoor
Findings of the Association for Computational Linguistics: EMNLP 2020, 2863-2868, 2020
72020
Leveraging visual question answering to improve text-to-image synthesis
S Frolov, S Jolly, J Hees, A Dengel
arXiv preprint arXiv:2010.14953, 2020
62020
The wisdom of masses: majority, subjectivity, and semantic similarity in the evaluation of VQA
S Jolly, S Pezzelle, T Klein, A Dengel, M Nabi
arXiv preprint arXiv:1809.04344, 2018
62018
EaSe: A diagnostic tool for VQA based on answer diversity
S Jolly, S Pezzelle, M Nabi
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
52021
P≈ NP, at least in Visual Question Answering
S Jolly, S Palacio, J Folz, F Raue, J Hees, A Dengel
2020 25th International Conference on Pattern Recognition (ICPR), 2748-2754, 2021
22021
Building Natural Language Generation and Understanding Systems in Data Constrained Settings
S Jolly
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023
12023
Improving systems when limited or no training examples are available
S Jolly
Technische Universität Kaiserslautern, 2022
2022
Building Natural Language Generation and Understanding Systems in Data Constrained Settings: Improving Systems when Limited Or No Training Examples are Available
S Jolly
Technische Universität Kaiserslautern, 2022
2022
P NP, at least in Visual Question Answering
S Jolly, S Palacio, J Folz, F Raue, J Hees, A Dengel
arXiv preprint arXiv:2003.11844, 2020
2020
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